Artificial Intelligence Book Enterprise Architecture 
Analysts Corner
AUGUST 8, 2023
We’ve got some insights on using SWOT and identifying business rules, a guide to assess your enterprise architecture practice maturity, an interview with Karl Wiegers as recorded by Fabricio Laguna; and a few career stories: how do you start a new project as a BA? And some people told me UML is dead — still kicking, and useful as ever!
Analysts Corner
FEBRUARY 12, 2024
> Keep reading… Artificial Intelligence 1) AI & Exponential Economic Growth by Gabriel Botsie Cathie Wood was one of the event speakers, her topic — Why AI will spark exponential economic growth. By employing use cases, the team can envision various user interactions — from browsing products to making a purchase.
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Analysts Corner
FEBRUARY 20, 2023
A lot of articles on business analysis career development, BA tools & techniques, Agile, AI and Enterprise Architecture this time. Plus as a bonus some curated lists of books recommended for product managers, BAs, and architects. Enjoy the reading ;) Business analysis career articles 1) What is a Business Analyst?
Analysts Corner
SEPTEMBER 28, 2023
Morgan’s Development of a ChatGPT-like AI for Investors by Nilimesh Halder, PhD In a world increasingly driven by artificial intelligence (AI), innovative companies continually explore new ways to integrate AI technology into their operations to create more efficient, personalized, and sophisticated services.
Analysts Corner
JUNE 27, 2023
During the session, participants highlighted three main results… > Keep reading… 2) Requirements analysis: It’s more than just looking at them by Karl Wiegers A surprising number of books on software requirements don’t even have an index entry for requirements analysis. It is even harder to build a digital solution to manage those.
Whizlabs
APRIL 19, 2021
David is also a contributor to IEEE Cloud Computing and has published countless number of articles and books over the years. Currently she works at Microsoft and concentrates mainly on cloud computing, edge computing, distributed systems and architecture, and a little bit of machine learning and artificial intelligence.
Analysts Corner
JANUARY 29, 2024
Here, we reflect on the reasoning behind the past, current, and future trends: Cloud deployments, SaaS (Software-as-a-Service), and AI (Artificial Intelligence). The concern is that enterprise legacy code is closed, so such vendors as IBM, with their extensive book of business, can leverage that more than anyone.
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